openai
OpenAI: o3 Mini (batch)
openai/o3-mini:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter lists openai/o3-mini:batch as an OpenAI variant that accepts text and file inputs and emits text, with a 200,000-token context window, mandatory reasoning, and an October 2023 knowledge cutoff. Its catalog description presents it as cost-efficient and oriented toward science, mathematics, and coding, with reasoning, tools, structured outputs, response formatting, seeds, and token limits. The evidence is catalog-only: no independent model card or measured results were supplied, so practical quality and latency require workload validation.[1]
Strengths
- Source-reported support for file inputs, tool calling, structured outputs, response formatting, seeds, and configurable token limits.[1]
- The catalog reports mandatory reasoning and describes the model as optimized for STEM-oriented tasks.[1]
- A reported 200,000-token context window may suit long documents or multi-file prompts, subject to workload testing.[1]
Limitations
- Only an OpenRouter catalog record was supplied; an independent model card was not available in this source pack.[1]
- No measured benchmark, latency, reliability, or real-world quality results were included.[1]
- Reasoning is mandatory, which may reduce flexibility for applications that need direct non-reasoning responses.[1]
Where to use it
- A candidate for STEM assistance, such as math, science, or coding workflows, after task-specific validation.[1]
- Potentially useful for structured extraction or generation from long text and file inputs where supported parameters fit.[1]
- May merit evaluation for tool-using applications that require reasoning and controlled output formats.[1]
Sources
- [1] OpenRouter catalog · OpenAI: o3 Mini (batch)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...
Specifications
- Model ID
- openai/o3-mini:batch
- Canonical ID
- openai/o3-mini-2025-01-31
- Creator
- openai
- Added to OpenRouter
- 31.01.2025
- Context length
- 200,000
- Modality
- text+file->text
- Input modalities
- text, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.550 / out $2.2
- Knowledge cutoff
- 31.10.2023
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · parameters: include_reasoning, reasoning |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · parameters: include_reasoning, reasoning |
| Document analysis | No measurement | input: file |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| OpenAI | 200,000 | $0.550 | $2.2 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.